{"title":"湿润环境下不同系数组合的Hargreaves-Samani (HS)参考蒸散发方程参数定标","authors":"Pankaj Kumar Pandey, Vanita Pandey","doi":"10.1016/j.hydres.2023.04.003","DOIUrl":null,"url":null,"abstract":"<div><p>Evapotranspiration (ET) is a major hydrological component in irrigation system design, irrigation scheduling, and hydrologic and drainage design. Estimating crop ET requires accurate reference evapotranspiration (ET<sub>0</sub>) measurement. In this work, numerous modified Hargreaves models for ET<sub>0</sub> were tested and calibrated against the standard FAO-56 Penman-Monteith eq. (F-56 PM) for further improvement in performance in the humid subtropical environment of Imphal West District, Manipur.</p><p>The Martinez-Cob and Tejero-Juste (2004) equation resulted in best region-wide ET<sub>0</sub> values of 3.536 mm d<sup>−1</sup>, mean absolute error (MAE) = 0.367 mm d<sup>−1</sup>, standard error of estimate (SEE) = 0.348 mm d<sup>−1</sup>, correlation coefficient (r) = 0.855, coefficient of determination (R<sup>2</sup>) =0.731, and index of agreement (d) = 0.891. <span>Trajkovic (2007)</span> equation has the second-best ET<sub>0</sub> values of 3.383, MAE = 0.413 mm d<sup>−1</sup>, SEE = 0.3.77 mm d<sup>−1</sup>, <em>r</em> = 0.827, R<sup>2</sup> = 0.685, and d = 0.852. The third-best equation, <span>Ravazzani et al. (2012)</span>, with average ET<sub>0</sub> values of 4.015 mm d<sup>−1</sup>, MAE = 0.506 mm d<sup>−1</sup>, SEE = 0.395 mm d<sup>−1</sup>, <em>r</em> = 0.855, R<sup>2</sup> = 0.731, and d = 0.79.</p><p>The observed wind speed data were sorted into five groups based on the average wind speed in different months in the region (1 m/s,2.5 m/s, 3.5 m/s, 4.5 m/s, and 5.5 m/s), and the estimated evapotranspiration was used to calibrate 14 selected combinations of the Hargreaves models. The calibration process significantly improved the performance of the different identified Hargreaves models.</p><p>The analysis indicated that the improvement in estimation decreases with increasing wind speed. The revised coefficient predicted evapotranspiration is closer to F-56PM, with MAE (mm d<sup>−1</sup>) ranging from 0.125 at 1 m/s to 0.248 at 4.5 m/s and SEE(mm d<sup>−1</sup>) from 0.16 at 1 m/s to 0.245 at 5.5 m/s, as compared to the original Hargreaves equation, whose MAE is 0.543, and SEE is 0.400.</p><p>More research must be conducted to extend the applicability of this equation to other regions of the State.</p></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"6 ","pages":"Pages 147-155"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parametric calibration of Hargreaves–Samani (HS) reference evapotranspiration equation with different coefficient combinations under the humid environment\",\"authors\":\"Pankaj Kumar Pandey, Vanita Pandey\",\"doi\":\"10.1016/j.hydres.2023.04.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Evapotranspiration (ET) is a major hydrological component in irrigation system design, irrigation scheduling, and hydrologic and drainage design. Estimating crop ET requires accurate reference evapotranspiration (ET<sub>0</sub>) measurement. In this work, numerous modified Hargreaves models for ET<sub>0</sub> were tested and calibrated against the standard FAO-56 Penman-Monteith eq. (F-56 PM) for further improvement in performance in the humid subtropical environment of Imphal West District, Manipur.</p><p>The Martinez-Cob and Tejero-Juste (2004) equation resulted in best region-wide ET<sub>0</sub> values of 3.536 mm d<sup>−1</sup>, mean absolute error (MAE) = 0.367 mm d<sup>−1</sup>, standard error of estimate (SEE) = 0.348 mm d<sup>−1</sup>, correlation coefficient (r) = 0.855, coefficient of determination (R<sup>2</sup>) =0.731, and index of agreement (d) = 0.891. <span>Trajkovic (2007)</span> equation has the second-best ET<sub>0</sub> values of 3.383, MAE = 0.413 mm d<sup>−1</sup>, SEE = 0.3.77 mm d<sup>−1</sup>, <em>r</em> = 0.827, R<sup>2</sup> = 0.685, and d = 0.852. The third-best equation, <span>Ravazzani et al. (2012)</span>, with average ET<sub>0</sub> values of 4.015 mm d<sup>−1</sup>, MAE = 0.506 mm d<sup>−1</sup>, SEE = 0.395 mm d<sup>−1</sup>, <em>r</em> = 0.855, R<sup>2</sup> = 0.731, and d = 0.79.</p><p>The observed wind speed data were sorted into five groups based on the average wind speed in different months in the region (1 m/s,2.5 m/s, 3.5 m/s, 4.5 m/s, and 5.5 m/s), and the estimated evapotranspiration was used to calibrate 14 selected combinations of the Hargreaves models. The calibration process significantly improved the performance of the different identified Hargreaves models.</p><p>The analysis indicated that the improvement in estimation decreases with increasing wind speed. The revised coefficient predicted evapotranspiration is closer to F-56PM, with MAE (mm d<sup>−1</sup>) ranging from 0.125 at 1 m/s to 0.248 at 4.5 m/s and SEE(mm d<sup>−1</sup>) from 0.16 at 1 m/s to 0.245 at 5.5 m/s, as compared to the original Hargreaves equation, whose MAE is 0.543, and SEE is 0.400.</p><p>More research must be conducted to extend the applicability of this equation to other regions of the State.</p></div>\",\"PeriodicalId\":100615,\"journal\":{\"name\":\"HydroResearch\",\"volume\":\"6 \",\"pages\":\"Pages 147-155\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"HydroResearch\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2589757823000161\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"HydroResearch","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589757823000161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
蒸散发(ET)是灌溉系统设计、灌溉调度和水文排水设计中的一个重要水文组成部分。估算作物蒸散发需要精确的参考蒸散发(ET0)测量。在这项工作中，针对标准的FAO-56 Penman-Monteith方程(F-56 PM)，对许多改进的Hargreaves ET0模型进行了测试和校准，以进一步改善在曼尼普尔邦英帕尔西区潮湿的亚热带环境中的性能。采用Martinez-Cob和Tejero-Juste(2004)方程计算得到的最佳区域ET0值为3.536 mm d−1，平均绝对误差(MAE) = 0.367 mm d−1，估计标准误差(SEE) = 0.348 mm d−1，相关系数(r) = 0.855，决定系数(R2) =0.731，一致性指数(d) = 0.891。Trajkovic(2007)方程的ET0次佳值为3.383,MAE = 0.413 mm d- 1, SEE = 0.3.77 mm d- 1, r = 0.827, R2 = 0.685, d = 0.852。第三佳方程为Ravazzani et al.(2012)，平均ET0值为4.015 mm d- 1, MAE = 0.506 mm d- 1, SEE = 0.395 mm d- 1, r = 0.855, R2 = 0.731, d = 0.79。根据不同月份的平均风速，将观测到的风速数据分为5组(1 m/s、2.5 m/s、3.5 m/s、4.5 m/s和5.5 m/s)，并利用估算的蒸散量对14个选定的Hargreaves模式组合进行了标定。校正过程显著提高了不同识别的Hargreaves模型的性能。分析表明，随着风速的增大，估算精度的提高幅度减小。与原始Hargreaves方程(MAE为0.543,SEE为0.400)相比，修正系数预测的蒸散量更接近F-56PM, MAE (mm d−1)在1 m/s时为0.125 ~ 0.248,SEE(mm d−1)在1 m/s时为0.16 ~ 5.5 m/s。必须进行更多的研究，以便将这一公式的适用性扩大到国家的其他地区。
Parametric calibration of Hargreaves–Samani (HS) reference evapotranspiration equation with different coefficient combinations under the humid environment
Evapotranspiration (ET) is a major hydrological component in irrigation system design, irrigation scheduling, and hydrologic and drainage design. Estimating crop ET requires accurate reference evapotranspiration (ET0) measurement. In this work, numerous modified Hargreaves models for ET0 were tested and calibrated against the standard FAO-56 Penman-Monteith eq. (F-56 PM) for further improvement in performance in the humid subtropical environment of Imphal West District, Manipur.
The Martinez-Cob and Tejero-Juste (2004) equation resulted in best region-wide ET0 values of 3.536 mm d−1, mean absolute error (MAE) = 0.367 mm d−1, standard error of estimate (SEE) = 0.348 mm d−1, correlation coefficient (r) = 0.855, coefficient of determination (R2) =0.731, and index of agreement (d) = 0.891. Trajkovic (2007) equation has the second-best ET0 values of 3.383, MAE = 0.413 mm d−1, SEE = 0.3.77 mm d−1, r = 0.827, R2 = 0.685, and d = 0.852. The third-best equation, Ravazzani et al. (2012), with average ET0 values of 4.015 mm d−1, MAE = 0.506 mm d−1, SEE = 0.395 mm d−1, r = 0.855, R2 = 0.731, and d = 0.79.
The observed wind speed data were sorted into five groups based on the average wind speed in different months in the region (1 m/s,2.5 m/s, 3.5 m/s, 4.5 m/s, and 5.5 m/s), and the estimated evapotranspiration was used to calibrate 14 selected combinations of the Hargreaves models. The calibration process significantly improved the performance of the different identified Hargreaves models.
The analysis indicated that the improvement in estimation decreases with increasing wind speed. The revised coefficient predicted evapotranspiration is closer to F-56PM, with MAE (mm d−1) ranging from 0.125 at 1 m/s to 0.248 at 4.5 m/s and SEE(mm d−1) from 0.16 at 1 m/s to 0.245 at 5.5 m/s, as compared to the original Hargreaves equation, whose MAE is 0.543, and SEE is 0.400.
More research must be conducted to extend the applicability of this equation to other regions of the State.
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